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Spatially Adaptive Algorithm for Impulse Noise Removal from Color Images

机译:从彩色图像脉冲噪声移除的空间自适应算法

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An effective method for removal impulse noise in corrupted color images is proposed. The method consists of two steps. Outliers are first detected using spatial relationships between the color image components. Then the detected noise pixels are replaced with the output of the vector median filter over a local spatially connected area excluding the outliers, while noise-free pixels are left unaltered. Simulation results in a test color image show a superior performance of the proposed filtering algorithm comparing with the conventional vector median filter. The comparisons are made using a mean square error, a mean absolute error, and a subjective human visual error criteria.
机译:提出了一种用于在损坏的彩色图像中去除脉冲噪声的有效方法。该方法包括两个步骤。首先使用彩色图像组件之间的空间关系检测异常值。然后,在不包括异常值的局部空间连接区域上,将检测到的噪声像素替换为载体中值滤波器的输出,而无噪音像素被置于未置换。仿真结果在测试彩色图像中显示出与传统向量中值滤波器比较的提出的滤波算法的优异性能。使用均方误差,平均绝对误差和主观人体视觉误差标准进行比较。

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